Prognostic utility of serum albumin in underweight patients who underwent isolated surgical aortic valve replacement.

This study was conducted to investigate the relationship between knowledge of nutrition labeling and the effect on eating habits with 300 high school boys in Seoul. The subjects were divided into an underweight (UW) group (BMI ＜ 18.5 kg/m 2 , n = 42), a normal weight (NW) group (18.5 kg/m 2 ≤ BMI ＜ 23 kg/m 2 , n = 129) and an overweight (OW) group (BMI ≥ 23 kg/m 2 , n = 79) based on their body mass index (BMI). The average age of participants was 17.8 years old and their mean height and weight were 174.9 cm and 66.5 kg. The mean BMI of subjects was 21.7 kg/m 2 which fell within the normal range. Seventy six point four percent of subjects perceived nutrition labeling and they acquired the information pertaining to it through TV and internet. The UW group and the OW group obtained it from their parents, relatives and friends, while NW group acquired it from school. There were significant differences among groups in the acquired source of the information on nutrition labeling (p ＜ 0.05). The NW group and the OW group trusted nutrition labeling more than the UW group, but there were no significant differences among them. Forty five point five percent of the UW group and 40.7% the NW group were satisfied with nutrition labeling education, while only 15.8% of the OW group did it. The OW group checked nutrition labeling more than the UW group and the NW group at the point of food purchase. The primary reason for examining nutrition labeling was ‘to check nutrient contents’ in the UW group and the NW group, while the OW group examined it to improve health including regulation of body weight. There were significant differences among groups with regards to the rea son for examining nutrition labeling (p ＜ 0.001). The OW group was aware that nutrition labeling affected their eating habits significantly more than the other groups (p ＜ 0.05). Therefore, application-centered education on nutrition labeling and the strong support of the government is needed in order to improve nutrition labeling use and to apply the information from nutrition labeling into student dietary life. (Korean J Nutr 2012; 45(2): 150 ~ 158)

BackgroundOur study aimed to explore the relationship between body mass index (BMI) and bone mineral density (BMD) of lumbar vertebra and femoral neck in postmenopausal females.Material/MethodsFrom September 2012 to September 2014, 236 healthy postmenopausal females who underwent physical examinations at the Women & Children’s Health Care Hospital of Linyi were enrolled into our study. These subjects were divided into 3 groups: underweight group, normal weight group, and overweight group. In addition, there were 2 age stratifications: <60 years old and ≥60 years old. DPX-L type dual-energy X-ray bone densitometry (American Lunar Company) was used to measure the BMD of lumbar vertebra and femoral neck in the recruited subjects. Pearson test was used for correlation analysis.ResultsBMDs and T-scores of lumbar vertebra (L1–L4), femoral neck, proximal femur, and Ward’s triangle region among the groups were ranked as follows: underweight group < normal weight group < overweight group. There were significant differences in body weight and BMI among the underweight, normal weight, and overweight groups (P<0.05). The T-scores of all examined anatomic locations showed significant differences between the underweight group and normal weight group, as well as between the underweight group and overweight group (both P<0.05). Only the T-scores of lumbar vertebra L2–L4 had significant differences between the normal weight group and overweight group (P<0.05). The BMDs of all anatomic components under study showed statistical differences in both age stratifications between the overweight group and underweight group, as well as between the overweight group and normal weight group (both P<0.05). When stratified above 60 years old, the BMDs of lumbar vertebra (L1, L2 and L4) showed statistical differences between the normal weight group and underweight group (P<0.05). Various factors could be ranked according to the absolute values of correlation coefficients as below: body weight, BMI, height, and age. Body weight, BMI, and height were positively correlated with the BMDs of all examined anatomic locations (P<0.05). However, age was negatively correlated with the various components of the body (lumbar vertebra L1, L2 and L4, femoral neck, proximal femur, Ward’s triangle region: P<0.05; lumbar vertebra L3: P>0.05).ConclusionsOur study provides evidence that body weight and BMI are important factors affecting BMD. Postmenopausal females with low BMI are more likely to have osteopenia, and are likely to develop osteoporosis. BMI can be used as an important index to prevent osteoporosis.

Objective: To investigate the associations between pre-pregnancy body mass index (BMI) and occurrence and clinical features in pregnant women complicated by preeclampsia (PE). Methods: We recruited 42 427 pregnant women who were diagnosed with intrauterine pregnancy at Shenzhen Maternity and Child Healthcare Hospital from July 2017 to December 2019, with a gestational age of 6~8+6 weeks, excluding those with basic diseases and incomplete medical records. Among them, 659 were diagnosed with PE. According to the pre-pregnancy BMI, the pregnant women were divided into underweight group (42 cases), normal body weight group (422 cases), overweight group (138 cases) and obesity group (57 cases). Maternal outcomes (the occurrence of preeclampsia, cesarean delivery rate) and neonatal outcomes (birth weight, Apgar score and neonatal ICU admission) were recorded. The maternal outcomes, gestational age of delivery, delivery mode, newborn birth weight, Apgar score and admission to neonatal ICU were compared among the pregnant women in each group. Logistic regression model was established to analyze the influence of different pre-pregnancy BMI on the occurrence and clinical features of PE. Results: The incidence of PE was 1.55% (659/42 427), and the incidence of PE was 0.61% (42/6 941), 1.44% (422/29 297), 2.62% (138/5 273) and 6.22% (57/916) in the underweight group, the normal weight group, the overweight group and the obesity group, respectively. After adjustment for age, parity, educational level, history of preeclampsia, and in vitro fertilization and embryo transfer (IVF-ET), compared with normal group, the adjusted OR for developing early-onset PE were 0.57 (95%CI: 0.29-1.02) for underweight, 1.03 (95%CI: 0.65-1.56) for overweight and 2.15 (95%CI: 1.03-4.02) for obesity groups. The OR for developing late-onset PE were 0.50 (95%CI: 0.33-0.72) for underweight, 1.57 (95%CI: 1.23-1.99) for overweight and 4.25 (95%CI: 3.00-5.91) for obesity group. The OR for PE without severe features were 0.54 (95%CI: 0.30-0.89), 1.40 (95%CI: 0.97-1.99) and 5.11 (95%CI: 3.22-7.84) for underweight, overweight and obesity groups, respectively. The OR for severe PE were 0.51 (95%CI: 0.33-0.75), 1.42 (95%CI: 1.10-1.83) and 2.97 (95%CI: 1.95-4.38) for underweight, overweight and obesity groups, respectively. The median neonate birth weight in women with PE were 2 420 g (1 602-2 845 g), 2 435 g (1 692-3 030 g), 2 540 g (1 922-3 132 g), and 2 950 g (2 050-3 360 g) for underweight, normal, overweight and obesity groups, respectively. The neonatal birth weight in obesity group was heavier than that in normal group (P<0.05). The incidence rates of large for gestational age (LGA) in PE women were 0 (0/42), 3.3% (14/422), 7.3% (10/138) and 17.5% (10/57) for underweight, normal, overweight and obesity groups, respectively. The incidence rate of LGA in obesity group was higher than that in normal group (P<0.05). Conclusions: Pre-pregnancy obesity is an independent risk factor for PE. Obesity related PE is more likely associated with late-onset PE and LGA. It is recommended to control weight before pregnancy, limit weight gain during pregnancy and control blood pressure to reduce the incidence of PE and ensure the safety of mother and child.

Prognostic Impact of Underweight (Body Mass Index <20 kg/m2) in Patients With Severe Aortic Valve Stenosis Undergoing Transcatheter Aortic Valve Implantation or Surgical Aortic Valve Replacement (from the German Aortic Valve Registry [GARY

Impact of lower delivered Kt/V on the survival of overweight patients on hemodialysis

Introduction: The “obesity paradox” in elderly patients suffering from percutaneous coronary intervention (PCI) remains a source of controversy. The present meta-analysis focused on exploring the real existence of “obesity paradox” in these patients. Methods: As of November 2022, PubMed, Cochrane, and Embase databases were comprehensively searched to identify articles reporting all-cause mortality according to diverse body mass index (BMI) categories after PCI among the old cases developing coronary artery disease (CAD). Summary estimates of relative risks (RRs) were assigned to four BMI groups, including underweight, normal weight, overweight, and obesity groups. Results: There were altogether nine articles involving 25,798 cases selected for further analysis. Relative to normal weight group, overweight and obesity groups had decreased all-cause mortality (RR: 0.86, 95% CI: 0.77–0.95 for overweight group; RR: 0.57, 95% CI: 0.40–0.80 for obesity group), while underweight group had elevated all-cause mortality (RR: 1.52, 95% CI: 1.01–2.29). Conclusion: Our study revealed an “obesity paradox” relation of BMI with all-cause mortality in elderly cases receiving PCI. In comparison with normal weight group, overweight and obesity groups had decreased all-cause mortality, while underweight group had increased all-cause mortality.

The association between body mass index (BMI) and clinical outcomes of patients with non-valvular atrial fibrillation (NVAF) taking oral anticoagulants (OACs) are controversial, and we thus analyzed the large registry data to elucidate them. We conducted a historical cohort study at 71 centers in Japan and included outpatients with NVAF taking vitamin K antagonists (VKAs). Physicians in charge could change VKAs to direct OACs based on their judgement during follow-up period. We categorized patients into four BMI groups (kg/m2): underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30), and obese (30 ≤ BMI). The effects of each BMI group relative to the normal weight group on clinical outcomes consisting of all-cause death, ischemic events, and bleeding events were estimated using Cox proportional hazard models adjusting for potential confounders. We also constructed restricted cubic spline regression model adjusted by multivariable Cox proportional hazard models. We included 6927 patients consisting of an underweight (n = 386), normal weight (n = 3785), overweight (n = 2174), and obese (n = 582) groups. The median follow-up period was 3.9years. In the underweight group, the adjusted hazard ratios (HRs) for all-cause death and ischemic events were 1.75 (1.30-2.34) and 1.61 (1.04-2.50). The HR for all-cause death was 0.63 (0.49-0.82) in the overweight group. Restricted cubic spline regression models confirmed that lower BMI showed significantly higher risks for all-cause death and ischemic events. Among NVAF patients taking OACs, underweight patients had higher risks of all-cause death and ischemic events than other patients. Overweight patients had lower risk of all-cause death.

To evaluate the influence of overweight/obesity on the incidence of hypertension among adults in China. The subjects of this prospective study were 13 739 Chinese adults aged 35-74 years recruited at the baseline surveys of China Multicenter Collaborative Study of Cardiovascular Disease Epidemiology and International Collaborative Study of Cardiovascular Disease in Asian. Baseline surveys were conducted in 1998 and during 2000-2001, respectively, and the follow-up was conducted during 2007-2008. According to the body mass index, the subjects were divided into four groups: underweight group(<18.5 kg/m(2)), normal weight group(18.5-23.9 kg/m(2)), overweight group(24.0-27.9 kg/m(2))and obesity group(≥28.0 kg/m(2)). Age-standardized cumulative incidence of hypertension was calculated for each group, respectively. The relative risks(RRs)and 95% confidence intervals(CIs)for the incidence of hypertension of underweight, overweight and obesity groups were estimated by using generalized linear regression model with normal weight group as reference. During 8.1 years of follow-up, 4 271 hypertension cases were detected(2 012 in men and 2 259 in women). Age-standardized cumulative incidence of hypertension for the underweight, normal weight, overweight and obesity groups were 20.3%, 30.9%, 43.6% and 50.8% in men, respectively; and 22.9%, 30.4%, 41.1% and 50.8% in women, respectively. Compared with the normal weight group, multivariate-adjusted RR(95% CI)for the incidence of hypertension in underweight, overweight and obesity groups were 0.78(0.64-0.95), 1.22(1.13-1.30)and 1.28(1.16-1.42)in men, respectively; and 0.89(0.77-1.03), 1.16(1.09-1.23)and 1.28(1.18-1.38)in women, respectively. The overweight and obese subjects had higher risk for the incidence of hypertension, with the population attributable risk proportion of 7.4% in men and 8.8% in women, respectively. Overweight or obese people are at an increased risk of developing hypertension, thus prevention and control of overweight/obesity are needed to reduce hypertension incidence among adults in China.

There are limited data regarding the effects of activin A on underweight, normal weight, and overweight patients with asthma. We determined serum levels of activin A in asthmatic patients in relation to body mass index. The study protocol included questionnaires, measurement of exhaled nitric oxide, blood sampling for inflammatory biomarkers, and high-resolution computed tomography of the lungs to identify bronchial wall thickening. Serum and sputum activin A levels were measured using an enzyme-linked immunosorbent assay in 94 asthmatic patients. Mean serum levels of activin A were significantly (P = 0.001) higher in underweight (1781 ± 327.3 pg/mL) than in normal weight and overweight asthmatic patients, regardless of gender. After stratification by gender, significantly higher mean values of activin A were observed in females compared to males in the normal and underweight groups (P = 0.003 and P = 0.0002, respectively). Significant differences between groups were found in airway wall area (%) (P < 0.0001). We also observed a much higher percentage of sputum lymphocytes in the underweight group compared to the other groups (P < 0.0001). Correlations between bronchial wall thickness and activin A were found in the underweight (r = 0.67, P = 0.48) and normal weight groups (r = 0.51, P = 0.042). Correlations between fractional of exhaled nitric oxide, forced expiratory volume in 1 s, delayed treatment years, and activin A in different groups were also observed. Increased serum level of activin A indicates its role in the pathogenesis of asthma, particularly in underweight and overweight patients.

Transcatheter aortic valve replacement valve-in-valve: Future implications for the surgeon

This study investigates the differences in limb coordination patterns and energy transfer strategies during sit-to-stand (STS) transitions among young adults (18-30 years) with overweight (OW), normal weight (NW), and underweight (UW) conditions, providing a theoretical foundation for understanding the impact of BMI variations on movement control mechanisms and informing health intervention strategies. Forty participants were classified into OW, NW, and UW groups. Motion data were collected via an infrared motion capture system and force plate. Biomechanical indices were computed using Visual 3D and MATLAB2020a. Coordination patterns were assessed using vector coding, and the segmental net power was analyzed to evaluate energy flow during STS. Statistical analyses were performed using one-way ANOVA (α = 0.05). Compared to the NW and UW groups, the OW group exhibited significant differences in movement coordination patterns and energy flow. In terms of coordination patterns, the OW group adopted more hip-knee distal coordination patterns in the FMP phase and more knee-ankle proximal coordination patterns. In the MTP phase, the OW group exhibited a lower frequency of hip-ankle anti-phase coordination patterns compared to the UW group. In the EP phase, the OW group showed a lower frequency of trunk-pelvis proximal coordination patterns than the UW group (p < 0.05). Regarding energy flow, in the FMP phase, the OW group exhibited higher joint power (JP) and segment power (SP) in the trunk compared to the UW group. In the pelvic segment, both JP and SP were higher in the OW group than in the NW and UW groups. In the thigh segment, muscle power (MP) was higher in the OW group than in the NW and UW groups, and SP was higher than in the NW group (p < 0.05). Changes in BMI affect movement coordination and energy transfer strategies during STS. OW individuals compensate for insufficient hip drive by relying on trunk and pelvic power, which may increase the knee and trunk load over time. In contrast, UW individuals exhibit greater lower-limb flexibility and rely on trunk-pelvis coordination to compensate for stability deficits. Future research should develop targeted exercise interventions to optimize movement patterns and reduce injury risk across BMI groups.

Increased Body Mass Index Negatively Affects Patient Satisfaction After a Posterior Fusion and Instrumentation for Adolescent Idiopathic Scoliosis

Safety of Doacs in Patients of Extreme Weight

The association between body mass index (BMI) and mortality in patients with type 1 diabetes mellitus (T1DM) has been poorly examined and has never been systematically reviewed. This meta-analysis investigated the all-cause mortality risk for each BMI category among patients with T1DM. A systematic literature review of the PubMed, Embase, and Cochrane Library databases was performed in July 2022. Cohort studies comparing the mortality risk between BMI categories among patients with T1DM were eligible. Pooled hazard ratios (HRs) for all-cause mortality among underweight (BMI <18.5 kg/m2), overweight (BMI, 25 to <30 kg/m2), and obese (BMI ≥30 kg/m2) individuals were calculated in reference to the normal-weight group (BMI, 18.5 to <25 kg/m2). The Newcastle-Ottawa Scale was used to assess the risk of bias. Three prospective studies involving 23,407 adults were included. The underweight group was shown to have a 3.4 times greater risk of mortality than the normal-weight group (95% confidence interval [CI], 1.67 to 6.85). Meanwhile, there was no significant difference in mortality risk between the normal-weight group and the overweight group (HR, 0.90; 95% CI, 0.66 to 1.22) or the obese group (HR, 1.36; 95% CI, 0.86 to 2.15), possibly due to the heterogeneous results of these BMI categories among the included studies. Underweight patients with T1DM had a significantly greater risk of all-cause mortality than their normal-weight counterparts. Overweight and obese patients showed heterogeneous risks across the studies. Further prospective studies on patients with T1DM are required to establish weight management guidelines.

Body mass index and mortality in patients with type 2 diabetes mellitus: A prospective cohort study of 11,449 participants